Natalie Ahn

Natalie Ahn is a Lecturer at UC Berkeley's Goldman School of Public Policy, specializing in Natural Language Processing (NLP), Information Extraction, and Computational Social Science. She earned her Ph.D. in Public Policy from the same institution and brings extensive industry experience from leadership roles in data science teams at Nextdoor (2019-2021) and Hoodline/Pixel Labs. Her research focuses on event extraction and related information extraction techniques from text.

Recent courses taught include Data Science 266: Natural Language Processing with Deep Learning (Fall 2022 - Summer 2025) and Data Science 207: Applied Machine Learning (Spring 2022).